3 papers
q-bio.QM2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…
stat.ML2015
Highly Scalable Tensor Factorization for Prediction of Drug-Protein Interaction Type
Adam Arany, Jaak Simm, Pooya Zakeri +5
The understanding of the type of inhibitory interaction plays an important role in drug design. Therefore, researchers are interested to know whether a drug has competitive or non-…
stat.ML2015
Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC
Jaak Simm, Adam Arany, Pooya Zakeri +5
We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data. Our model can factorize any set of entities and relations that can be represented by…